Master Data Architect

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply!

Position Summary

The Lead Architect - Master Data is a high-impact, senior technical leadership role responsible for defining and driving the global master data architecture strategy. As we undergo a critical transformation from SAP ECC to S/4

HANA Cloud, this role will serve as the primary architect ensuring data readiness, governance, and seamless integration across enterprise domains.

Reporting directly to the VP, Data Intelligence & AI, you will lead the architectural design and execution for core data domains, including Business Partner (Customer/Vendor), Material, and Finance. You will bridge the gap between business strategy and technical execution, championing SAP Best Practices, Clean Core principles, and modern data management frameworks to build a resilient foundation for enterprise AI and analytics.

Key Responsibilities

1. Enterprise Architecture & S/4

HANA Migration Strategy (35%)

* Migration Leadership:
Define and own the target-state master data architecture for the SAP ECC to S/4

HANA Cloud migration. Serve as design authority for the master data workstream - setting data models, conversion standards, and migration design principles aligned to SAP Activate. Provide architectural guidance in Fit-to-Standard workshops for data domains, ensuring decisions align with S/4

HANA best practices and long-term data strategy..

* Simplification & Adaptation :
Analyze the SAP Simplification List to identify deprecated objects, mandatory conversions, and architectural changes, translating them into actionable master data roadmaps.

* Clean Core Architecture:
Architect master data solutions adhering to Clean Core / ABAP Cloud extensibility frameworks, prioritizing Side-by-Side or Key User extensibility over classic ABAP custom modifications.

* Integration & Exposure:
Design modern data exposure and consumption models leveraging Core Data Services (CDS) Views and the SAP Business Technology Platform (BTP) ecosystem (including Integration Suite and Event Mesh).

2. Finance & Cross-Domain Master Data Design (25%)

* Finance Domain Architecture:
Lead the architectural design and structural alignment of Finance master data for S/4

HANA, specifically guiding the Universal Journal (ACDOCA) restructuring of General Ledger (G/L) accounts, profit centers, and cost centers.

Multi-Domain Governance:
Establish and maintain standard data models for Business Partner (incorporating Customer/Vendor integration), Material, and Finance domains to ensure cross-functional data integrity.

* Platform & Solution Design:
Evaluate, select, and design the master data governance solution - whether SAP MDG, a lighter-weight workflow built on SAP BTP (Build Process Automation, Fiori, CDS), or a hybrid approach - sized appropriately to the company's scale and complexity. Define the blueprint for governance workflows, stewardship, request/approval processes, and consolidation patterns across master data domains, leveraging SAP Datasphere for downstream integration and analytics alignment.

3. End-to-End Data Cleansing & Migration Readiness (20%)

* Cleansing Framework Design:
Define the methodology and standards for the multi-phase data cleansing lifecycle - profiling, remediation, re-profiling, and sign-off - establishing the architectural guardrails and quality gates that the cleansing program executes against.

* Data Quality Tooling & Standards:
Select and architect the data profiling and automated remediation tooling stack. Define acceptance criteria, validation rule libraries, and migration readiness thresholds that govern when data is approved for conversion.

* Quality KPIs & Validation Standards:
Partner with business data stewards to define data quality KPIs and the catalog of S/4

HANA target validation rules. Establish the measurement framework used to assess migration readiness; execution against those KPIs is owned by the data quality lead and stewards..

4. Team Leadership, Governance & Partnership (20%)

* Strategic

Collaboration:

Act as the primary technical advisor to the VP, Data Intelligence & AI, and collaborate closely with Finance, Supply Chain, and Commercial business leaders.

* Team Development:
Provide technical mentorship and architectural guidance to data engineers, analysts, and external implementation partner resources.

* Data Stewardship Framework:
Foster an organizational culture of data ownership, designing workflows that empower data stewards to maintain high-quality data post-migration.

Qualifications & Experience

Required Education & Experience

* Education:

Bachelor's degree in Computer Science, Information Technology, Data Analytics, Finance, or a related field (Master's degree preferred).

* Experience:

10+ years of progressive experience in Enterprise Data…